SPSS calculation of weights for exemplar 5
Probit
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DATA  Information

      12473 unweighted cases accepted.
          0 cases rejected because of missing data.
      18708 cases are in the control group.
MODEL Information

      ONLY Logistic Model is requested.

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 Parameter estimates converged after 47 iterations.
 Optimal solution found.

 Parameter Estimates (LOGIT model:  (LOG(p/(1-p))) = Intercept + BX):

           Regression Coeff.  Standard Error     Coeff./S.E.

   sinc              -.02489          .00362        -6.88477
   sacc               .04634          .02370         1.95532
   agegrp            -.00248          .03100         -.07999
   sex                .47620          .13669         3.48383
   agegrp2            .00721          .00199         3.61491
   agesex            -.00720          .04053         -.17754
   age2sex           -.00508          .00269        -1.88617
   agesinc            .00152          .00043         3.55777

                   Intercept  Standard Error  Intercept/S.E.

                    -4.47972          .11737       -38.16616

  Pearson  Goodness-of-Fit  Chi Square =  14323.468    DF = 12464   P =  .000

  Since Goodness-of-Fit Chi square is significant, a heterogeneity
  factor is used in the calculation of confidence limits.

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 More output has been suppressed, including long lists of predicted values